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Working from home
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Working from home
6 followers · 10 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

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Hamim-Susmit/README.md

💫 About Me:

I’m a recent Master’s graduate in Data Science from Stony Brook University with hands-on experience building machine learning systems and data-driven applications.

I enjoy working at the intersection of machine learning, data engineering, and real-world problem solving. My projects include a phishing detection system using BERT and distributed tools like Kafka and Redis, as well as database and analytics systems that turn raw data into actionable insights.

I’m currently seeking entry-level Data Scientist, Data Analyst, or Machine Learning Engineer roles where I can contribute, learn fast, and grow with a collaborative team.

🌐 Socials:

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💻 Tech Stack:

R Python Markdown JavaScript Java HTML5 TypeScript Vercel Firebase Next JS NodeJS NestJS NPM Flask FastAPI Express.js React React Native SolidJS Vue.js Web3.js SQLite Supabase MySQL MongoDB Postgres Matplotlib Keras NumPy Pandas Plotly PyTorch scikit-learn TensorFlow GitHub Git GitHub Actions GitLab CI Arduino Docker Postman Power Bi

📊 GitHub Stats:



🏆 GitHub Trophies

✍️ Random Dev Quote

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  1. online-retail-ii-eda online-retail-ii-eda Public

    Exploratory data analysis of real-world e-commerce transaction data (Online Retail II)

    Jupyter Notebook

  2. online-retail-ii-sql-analytics online-retail-ii-sql-analytics Public

    SQL-based business analytics on the Online Retail II dataset, answering core customer, revenue, retention, and product performance questions.

    Python

  3. customer-segmentation-lifecycle-analysis customer-segmentation-lifecycle-analysis Public

    End-to-end customer segmentation and lifecycle analysis using transactional e-commerce data. Includes RFM analysis, clustering, cohort-based retention insights, and business-driven recommendations.

    Python

  4. customer-churn-clv-online-retail-ii customer-churn-clv-online-retail-ii Public

    Predictive analytics project using the UCI Online Retail II dataset to model customer churn risk and future customer value, translating transaction data into actionable retention strategies.

    Jupyter Notebook

  5. customer-retention-strategy-online-retail-ii customer-retention-strategy-online-retail-ii Public

    Data-driven customer retention strategy using churn risk, customer value, and ROI-based intervention simulation on the Online Retail II dataset.

    Python

  6. customer-intelligence-dashboard-online-retail-ii customer-intelligence-dashboard-online-retail-ii Public

    An end-to-end customer intelligence system built on Supabase Postgres and Streamlit, using SQL analytics and interactive dashboards to analyze customer behavior, segmentation, churn risk, and lifet…

    Python